In-Context Learning (ICL)

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In-context learning (ICL) is a new paradigm in natural language processing (NLP) where large language models (LLMs) make predictions based on contexts augmented with just a few training examples1. LLMs are able to extract patterns from the examples provided in the context and use them to perform many complex NLP tasks. - In-context Learning - A New Paradigm in NLP? | The Global NLP Lab